| from huggingface_hub import HfApi | |
| # Replace with your actual access token (obtain from Hugging Face settings) | |
| # Set up the Hugging Face API with authentication | |
| api = HfApi() | |
| # Specify the local file path and desired location in the repository | |
| # local_file_path = "images.zip" | |
| local_file_path = "script.py" | |
| path_in_repo = local_file_path | |
| # Define the repository ID and type | |
| repo_id = "umiuni/implant" | |
| repo_type = "dataset" | |
| try: | |
| # Upload the file with progress bar feedback | |
| upload_result = api.upload_file( | |
| path_or_fileobj=local_file_path, | |
| path_in_repo=path_in_repo, | |
| repo_id=repo_id, | |
| repo_type=repo_type, | |
| ) | |
| print(f"File uploaded successfully! Link: {upload_result['url']}") | |
| except Exception as e: | |
| print(f"An error occurred during upload: {e}") | |